Digital Ops Data Manager

MongoDB•Austin, TX

5d•Hybrid

About The Position

The Digital Ops Data Manager primary goal will be to ensure Digital Ops has the right data architecture and infrastructure for a best-in-class tracking, attribution and web analytics integrations. For this, they'll own the business definitions and do operational work to maintain and evolve MongoDB's Identity Graph, Web Sessions, Channel, Attribution Models and systems, and Marketing Touchpoint Repository. This technical and cross-functional role will sit under the Marketing Ops structure, working closely with Marketing Analytics, Data teams, and Growth Analytics teams to ensure we're measuring the right data for MongoDB's business needs. We are looking to speak to candidates who are based in Austin for our hybrid working model or remote options within the United States will be considered for the right candidate. About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Requirements

5+ years of experience in data engineering, architecture, governance or analytics roles
Vast experience in owning ETL data pipelines between different systems and architectures
Experience in Id graph frameworks and CDP systems (Segment, Tealium, Adobe CDP, etc)
Experience across a variety of SQL environments (Presto/Trino, BigQuery, etc).
Experience in Web Analytics data (Segment, Mixpanel, Google Analytics, or others)
Excellent organizational, project management, communication skills, and script governance skills
Natural drive for creative problem-solving.

Responsibilities

Own Identity Graph, its architecture, implementation, and data pipelines
Own Marketing Touchpoint Repository, being responsible for query optimization, data availability and SLA definitions
Own Digital Ops system integrations from DW, like Mixpanel, Ad Ops conversions, among others
Partner with Marketing Technology Architect to define best practices for Digital Ops infrastructure
Own the infrastructure to prevent Bot traffic from impacting vendor quotas and analytics
Manage data assets across Trino and BigQuery data platforms according to best practices
Partner with Data Engineering team to ingest raw Marketing data into the Bronze Layer as needed, and create Silver Layer objects that should be broadly used throughout the company
Document metadata for Marketing-owned objects in the enterprise data catalog, promoting self-service data discovery